1. Acquainting with problems and content of subject. Mathematical models of linear MIMO dynamic elements.
2. MIMO control systems, stability, autonomity, invariance..
3. Synthesis of linear MIMO control systems.
4. State-space models of MIMO systems and their behavior.
5. Basic problems of optimal control. Dynamic programming. Bellman principle of optimality.
6. Quadratic optima control, Potriagin minimum principle.
7. Time optimal control, robust control methods.
8. Control in sliding modes.
9. Method of state variables aggregation.
2. MIMO control systems, stability, autonomity, invariance..
3. Synthesis of linear MIMO control systems.
4. State-space models of MIMO systems and their behavior.
5. Basic problems of optimal control. Dynamic programming. Bellman principle of optimality.
6. Quadratic optima control, Potriagin minimum principle.
7. Time optimal control, robust control methods.
8. Control in sliding modes.
9. Method of state variables aggregation.